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Glama

1845 Smoked Meat AI Gateway

List products

list_products
Read-onlyIdempotent

List products in this store (title, price, sale price, availability, image, URL). Returns the catalog so an agent can browse. Page with offset. Use add_to_cart to build a cart.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results (default 20, max 50)
offsetNoSkip this many to page through (use next_offset from a prior call)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
totalNo
productsYes
next_offsetNo

TDQS

A3.5/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already cover readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the description does not need to repeat safety traits. It adds the catalog-browse behavior, the returned fields, and pagination via offset, which is useful context beyond annotations. It does not go further into limits or other edge behaviors.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded with what the tool does and returns. The sentence about add_to_cart is slightly tangential but brief and helpful for workflow context. No wasted words overall.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only listing tool with no required parameters, a full output schema, and complete parameter documentation in the schema, the description is adequate. It tells the agent what is returned and how to page. It could have noted the relationship to search_products or best_sellers, but that gap is more about usage guidance than completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%: both limit and offset are already clearly documented. The description only restates the offset paging concept, so it adds no significant semantic value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: it lists products in the store, enumerating the fields returned (title, price, sale price, availability, image, URL). It does not explicitly distinguish itself from siblings like get_product, search_products, or best_sellers, but the catalog-browse framing gives some differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description conveys that this is for browsing the catalog and mentions paging with offset, which implies usage context. However, it does not explicitly state when to prefer this over search_products, get_product, best_sellers, or related_products, and provides no exclusion criteria.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A4/5.0
Disambiguation4/5

Most tools target distinct actions: browse, search, product detail, inventory, recommendations, cart, and store policy. The main potential confusion is between get_product and check_inventory, which both report product/variant price and stock, though list_products vs search_products is reasonably clear from descriptions.

Naming Consistency3/5

Tool names are consistently snake_case and many follow a verb_noun pattern like check_inventory, get_product, list_products, and search_products. However, best_sellers, related_products, and store_info are noun phrases, while fetch and search are bare verbs, making the naming pattern mixed but still readable.

Tool Count5/5

Eleven tools is well-scoped for an e-commerce shopping assistant covering catalog browsing, product search, inventory checks, recommendations, cart assembly, content search, and store policies. Each tool has a clear purpose and the count is neither bloated nor too thin.

Completeness5/5

The tool set covers the full shopper-facing journey: discovering categories and products, searching content, viewing product details and stock, seeing best sellers and related items, checking store policies, and building a cart. As a read-only storefront gateway, missing merchant-side operations are outside its stated purpose.

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